Coverage maximization
WebCoverage Maximization using Multi-Objective Optimization Approach for Wireless Sensor Network in Real Time Environment. Abstract: The most important issue of Quality of Service is network connectivity and coverage of sensing in the design of Wireless Sensor Network. WebJan 8, 2024 · However, the relation between two important factors, i.e., Coverage Maximization and Budget Feasibility, has not been fully studied in existing incentive mechanisms for mobile crowdsensing ...
Coverage maximization
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WebHowever, it is generally required to maximize the coverage ratio. In the following part, coverage problem considering network lifetime is analyzed, and the corresponding sensor model is given. 3.1. K-Coverage Problem Suppose there are sensor nodes and targets in the monitoring area. The maximum coverage problem is a classical question in computer science, computational complexity theory, and operations research. It is a problem that is widely taught in approximation algorithms. As input you are given several sets and a number $${\displaystyle k}$$. … See more The greedy algorithm for maximum coverage chooses sets according to one rule: at each stage, choose a set which contains the largest number of uncovered elements. It can be shown that this algorithm achieves … See more In the generalized maximum coverage version every set $${\displaystyle S_{i}}$$ has a cost $${\displaystyle c(S_{i})}$$, element See more • Set cover problem is to cover all elements with as few sets as possible. See more The inapproximability results apply to all extensions of the maximum coverage problem since they hold the maximum coverage problem as a special case. The Maximum … See more In the budgeted maximum coverage version, not only does every element $${\displaystyle e_{j}}$$ have a weight $${\displaystyle w(e_{j})}$$, but also every set $${\displaystyle S_{i}}$$ has a cost $${\displaystyle c(S_{i})}$$. Instead of $${\displaystyle k}$$ that … See more
WebMar 4, 2024 · What Does Maximum Coverage Mean? Maximum coverage is the most coverage an insurance company will provide during a specific period. If a policyholder … WebThe coverage maximization theory 5.3 General discussion. 49 rank ac higher than be. Yet, it was found that there was no general agreement among participants and no correlation with predicted rankings. As it would have been predicted by the CP values alone, no ranking order emerged from the participants’ choices.
WebAug 6, 2024 · Influence maximization (IM) as an important problem which is finding a group of highly influential users in social networks to maximize the number of the product adoptions under a certain propagation model, and it … WebOct 19, 2024 · Coverage Maximization for Heterogeneous Aerial Networks. Abstract: In this letter, we investigate the network planning of the heterogeneous aerial networks to maximize the network coverage. Specifically, a joint high-altitude aerial base station (HABS) trajectory and low-altitude aerial base station (LABS) position optimization problem is ...
WebExamples of Coverage Limit in a sentence. Our duty to defend or settle ends when the Liability Coverage Limit of Insurance has been exhausted by payment of judgments or …
WebOct 7, 2024 · Abstract. Coverage area maximization is a crucial issue that must be considered in Wireless sensor network (WSN) deployment as long as it impacts the … ph lady\u0027s-mantleWebMaximum Lot Coverage means the maximum area of a lot that is permitted to be covered by impervious surfaces in accordance with the applicable zoning district requirements, … tsspdcl download formsWebAug 6, 2024 · We propose an information coverage maximization problem for multiple products in social networks. Our goal is to choose M people as seeds to propagate k … tsspdcl districtsWeb2 days ago · We propose an approach to self-optimizing wireless sensor networks (WSNs) which are able to find, in a fully distributed way, a solution to a coverage and lifetime optimization problem. The proposed approach is based on three components: (a) a multi-agent, social-like interpreted system, where the modeling of agents, discrete space, and … ph lady\u0027s-thumbWebNov 1, 2016 · Tong D, 2012, “ Regional coverage maximization: a new model to account implicitly for complementary coverage ” Geographical Analysis 44 (1) 1-14 Tong D, Church R L, 2012, “ Aggregation in ... phlair by designWebJan 8, 2024 · In this paper, we are motivated to develop a privacy preserving participant recruitment scheme for mobile crowdsensing, which maximizes the spatial coverage of the sensing range while protecting participants’ location privacy against an untrusted crowdsensing platform. tsspdcl corporate officeWebCrowd coverage maximization is a classical problem in mo-bile computing: how to select m users from a candidate pool to maximize the probability of covering a set of tar-get locations in a coming time period (e.g., one day or one week). This problem and its variants have a wide spectrum of tsspdcl duplicate bill download